public_instagram_loader.py

import tempfile
import os
from pathlib import Path
from instaloader import Instaloader, Profile
from dataclasses import dataclass, field
from typing import List, Dict, Tuple
import json
import zipfile
import io
import fal_client

@dataclass
class InstagramData:
    profile_info: Dict
    posts: List[Dict] = field(default_factory=list)
    image_urls: List[str] = field(default_factory=list)

def public_instagram_loader(username: str) -> InstagramData:
    with tempfile.TemporaryDirectory() as temp_dir:
        profile_dir = Path(temp_dir) / username
        profile_dir.mkdir(parents=True, exist_ok=True)

        L = Instaloader(
            download_pictures=True,
            download_videos=False,
            download_video_thumbnails=False,
            download_geotags=False,
            download_comments=False,
            save_metadata=False,
            compress_json=False,
            dirname_pattern=str(profile_dir)
        )

        try:
            profile = Profile.from_username(L.context, username)
        except Exception:
            return None

        profile_info = {
            'username': profile.username,
            'full_name': profile.full_name,
            'biography': profile.biography,
            'followers': profile.followers,
            'followees': profile.followees,
            'mediacount': profile.mediacount,
        }

        instagram_data = InstagramData(profile_info=profile_info)

        print(f"Downloading and uploading posts from {username}")
        for post in profile.get_posts():
            if post.typename == 'GraphImage':
                post_data = {
                    'shortcode': post.shortcode,
                    'caption': post.caption,
                    'date': post.date_local,
                    'likes': post.likes,
                    'filename': f"{post.date_utc:%Y-%m-%d_%H-%M-%S}_UTC.jpg",
                }
                
                # Download the image
                image_path = profile_dir / post_data['filename']
                L.download_pic(filename=str(image_path), url=post.url, mtime=post.date_utc)
                
                # Upload the image to FAL
                with open(image_path, 'rb') as img_file:
                    url = fal_client.upload(img_file.read(), "image/jpeg")
                
                instagram_data.posts.append(post_data)
                instagram_data.image_urls.append(url)

        print(f"Data and images uploaded for {username}")
        return instagram_data

if __name__ == "__main__":
    username = input("Enter Instagram username: ")
    data = public_instagram_loader(username)
    if data:
        print(f"Collected data for {data.profile_info['username']}:")
        print(f"Total posts: {len(data.posts)}")
        print(f"Zip file size: {len(data.zip_file)} bytes")
    else:
        print("Profile not found or an error occurred.")